-
-
Notifications
You must be signed in to change notification settings - Fork 597
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #1327 from nerdlab53/nerdlab53-patch-2
Uploaded Snapchat Clown Nose Filter/issue1229
- Loading branch information
Showing
5 changed files
with
86 additions
and
0 deletions.
There are no files selected for viewing
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,27 @@ | ||
|
||
# README | ||
|
||
* Libraries used: | ||
* OpenCV | ||
* dlib | ||
* NumPy | ||
|
||
* Created a Clown Nose filter using OpenCV, dlib and NumPy | ||
|
||
* Requirements: | ||
* dlib==19.24.0 | ||
* numpy==1.21.5 | ||
* opencv_python==4.6.0.66 | ||
|
||
|
||
Output | ||
|
||
<img src="https://github.com/nerdlab53/Face-X/blob/nerdlab53-patch-2/Snapchat_Filters/Clown_Nose_Filter/clowmn_nomse.png"> | ||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,56 @@ | ||
import cv2 | ||
import numpy as np | ||
import dlib | ||
from math import hypot | ||
|
||
# Loading Camera and Nose image and Creating mask | ||
cap = cv2.VideoCapture(0) | ||
clown_nose = cv2.imread("clowmn_nomse.png") | ||
_, frame = cap.read() | ||
rows, cols, _ = frame.shape | ||
nose_mask = np.zeros((rows, cols), np.uint8) | ||
|
||
# Loading Face detector | ||
detector = dlib.get_frontal_face_detector() | ||
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat") | ||
|
||
while True: | ||
_, frame = cap.read() | ||
nose_mask.fill(0) | ||
gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) | ||
|
||
faces = detector(frame) | ||
for face in faces: | ||
landmarks = predictor(gray_frame, face) | ||
# Defining the nose coordinates | ||
top_nose = (landmarks.part(28).x, landmarks.part(28).y) | ||
center_nose = (landmarks.part(30).x, landmarks.part(30).y) | ||
left_nose = (landmarks.part(31).x, landmarks.part(31).y) | ||
right_nose = (landmarks.part(36).x, landmarks.part(36).y) | ||
|
||
nose_width = int(hypot(left_nose[0] - right_nose[0], left_nose[1] - right_nose[1]) * 1.7) | ||
nose_height = int(nose_width * 0.77) | ||
|
||
# Defining the extremities of the area of imposition of the clown nose filter | ||
top_left = (int(center_nose[0] - nose_width / 2), int(center_nose[1] - nose_height / 2)) | ||
bottom_right = (int(center_nose[0] + nose_width / 2), int(center_nose[1] + nose_height / 2)) | ||
|
||
# Adding the new nose | ||
nose_clown = cv2.resize(clown_nose, (nose_width, nose_height)) | ||
nose_clown_gray = cv2.cvtColor(nose_clown, cv2.COLOR_BGR2GRAY) | ||
_, nose_mask = cv2.threshold(nose_clown_gray, 25, 255, cv2.THRESH_BINARY_INV) | ||
|
||
nose_area = frame[top_left[1]: top_left[1] + nose_height, top_left[0]: top_left[0] + nose_width] | ||
nose_area_no_nose = cv2.bitwise_and(nose_area, nose_area, mask=nose_mask) | ||
final_nose_clown = cv2.add(nose_area_no_nose, nose_clown) | ||
|
||
frame[top_left[1]: top_left[1] + nose_height, top_left[0]: top_left[0] + nose_width] = final_nose_clown | ||
|
||
cv2.imshow("Clown Nose", nose_area) | ||
cv2.imshow("Clown Nose", nose_clown) | ||
|
||
cv2.imshow("Frame", frame) | ||
|
||
key = cv2.waitKey(1) | ||
if key == 27: | ||
break |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,3 @@ | ||
dlib==19.24.0 | ||
numpy==1.21.5 | ||
opencv_python==4.6.0.66 |